# Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser

from mmengine.model import revert_sync_batchnorm

from mmseg.apis import inference_model, init_model, show_result_pyplot

from mmengine.registry import init_default_scope
from mmseg.datasets import Roaddataset
import os
def main():
    parser = ArgumentParser()
    parser.add_argument('img', help='Image file')
    parser.add_argument('config', help='Config file')
    parser.add_argument('checkpoint', help='Checkpoint file')
    parser.add_argument('--out-file', default=None, help='Path to output file')
    parser.add_argument(
        '--device', default='cuda:0', help='Device used for inference')
    parser.add_argument(
        '--opacity',
        type=float,
        default=0.5,
        help='Opacity of painted segmentation map. In (0, 1] range.')
    parser.add_argument(
        '--title', default='result', help='The image identifier.')
    args = parser.parse_args()

    # build the model from a config file and a checkpoint file
    model = init_model(args.config, args.checkpoint, device=args.device)
    if args.device == 'cpu':
        model = revert_sync_batchnorm(model)
    # test a single image
    result = inference_model(model, args.img)
    #加载对应的gt
    init_default_scope('mmseg')
    data_root = 'data/roaddataset/'
    data_prefix=dict(img_path='raw/val', seg_map_path='gt/val')
    train_pipeline = [
        dict(type='LoadImageFromFile'),
        dict(type='LoadAnnotations'),
        dict(type='PackSegInputs')
    ]
    dataset =Roaddataset(data_root=data_root, data_prefix=data_prefix, test_mode=False, pipeline=train_pipeline)
    files = os.listdir(args.img.rpartition("/")[0])
    files.sort()
    index = files.index(args.img.rpartition("/")[-1])
    #赋予gt属性
    result.gt_sem_seg=dataset[index]["data_samples"].gt_sem_seg
    show_result_pyplot(
        model,
        args.img,
        result,
        title=args.title,
        opacity=args.opacity,
        draw_gt=True,
        draw_pred=True,
        show=False if args.out_file is not None else True,
        out_file=args.out_file,
        )




if __name__ == '__main__':
    main()
